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pearson’s correlation coefficient(r) calculated in graphpad prism  (GraphPad Software Inc)


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    GraphPad Software Inc pearson’s correlation coefficient(r) calculated in graphpad prism
    a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using <t>Pearson’s</t> correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.
    Pearson’s Correlation Coefficient(r) Calculated In Graphpad Prism, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pearson+correlation+calculations/correlation+coefficient/pmc12064836-34-6-11
    Average 90 stars, based on 1 article reviews
    pearson’s correlation coefficient(r) calculated in graphpad prism - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Ligand-activated EGFR/MAPK signaling but not PI3K, are key resistance mechanisms to EGFR-therapy in colorectal cancer"

    Article Title: Ligand-activated EGFR/MAPK signaling but not PI3K, are key resistance mechanisms to EGFR-therapy in colorectal cancer

    Journal: Nature Communications

    doi: 10.1038/s41467-025-59588-3

    a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.
    Figure Legend Snippet: a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.

    Techniques Used: Comparison, Clinical Proteomics, Two Tailed Test

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    Article Snippet: Statistical correlations were computed by Pearson correlation calculations with a two-tailed P value (GraphPad Prism 6).

    Article Title: Response element sequence modulates estrogen receptor alpha and beta affinity and activity.
    Article Snippet: Pearson correlation calculations were performed in GraphPad Prism using a two-tailed P value.

    Article Title: The effect of Bruton's tyrosine kinase (BTK) inhibitors on collagen-induced platelet aggregation, BTK, and tyrosine kinase expressed in hepatocellular carcinoma (TEC).
    Article Snippet: Pearson correlation calculations were used for the correlation analysis and two-tailed P values were selected (GraphPad Prism).

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    Article Snippet: All Pearson correlation calculations were performed using GraphPad PRISM 7.0 (GraphPad Software, Inc. La Jolla, CA).



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    a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using <t>Pearson’s</t> correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.
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    Image Search Results


    a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Ligand-activated EGFR/MAPK signaling but not PI3K, are key resistance mechanisms to EGFR-therapy in colorectal cancer

    doi: 10.1038/s41467-025-59588-3

    Figure Lengend Snippet: a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.

    Article Snippet: The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies.

    Techniques: Comparison, Clinical Proteomics, Two Tailed Test

    Correlation plots of equilibrium and kinetic parameters of cannabinoid compounds at CB1R and CB2R. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (A) association rate (log k on ) and (B) dissociation rate (log k off ) for CB1R ligands. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (C) association rates (log k on ) and (D) dissociation rates (log k off ) for CB2R ligands. Correlation analysis was carried out using a Pearson correlation analysis (two-tailed). Data shown are the mean and SEM of four independent experiments.

    Journal: Frontiers in Pharmacology

    Article Title: A universal cannabinoid CB1 and CB2 receptor TR-FRET kinetic ligand-binding assay

    doi: 10.3389/fphar.2025.1469986

    Figure Lengend Snippet: Correlation plots of equilibrium and kinetic parameters of cannabinoid compounds at CB1R and CB2R. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (A) association rate (log k on ) and (B) dissociation rate (log k off ) for CB1R ligands. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (C) association rates (log k on ) and (D) dissociation rates (log k off ) for CB2R ligands. Correlation analysis was carried out using a Pearson correlation analysis (two-tailed). Data shown are the mean and SEM of four independent experiments.

    Article Snippet: The correlation between datasets was determined by calculating the Pearson correlation coefficient (presented as the r 2 coefficient of determination, which shows percentage variation in y, which is explained by all the x variables together) in GraphPad Prism 9.2.

    Techniques: Transformation Assay, Two Tailed Test